Intelligent control of dynamical systems. I: Robust identification and control of linear time varying systems

Y. Lirov, B. K. Ghosh

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

The authors propose an artificial-intelligence-based design procedure which addresses the following robust adaptive stabilization problem: Given the inputs and outputs of an unknown time-varying system, construct a family of plants one of which is the true system, and obtain a simultaneous stabilizer for the above family. The procedure consists of replacing the classical plant/compensator control loop by a higher level control system consisting of three collaborating expert systems. The procedure is robust, since it utilizes a simultaneous design scheme with a simultaneous identifier. From the point of view of computation, a heuristic scheme is designed, and an admissible heuristic is constructed even for a tree with time-varying cost functions.

Original languageEnglish
Pages (from-to)1818-1822
Number of pages5
JournalProceedings of the IEEE Conference on Decision and Control
StatePublished - 1988
EventProceedings of the 27th IEEE Conference on Decision and Control - Austin, TX, USA
Duration: Dec 7 1988Dec 9 1988

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